This TiddlyWiki contains the following tiddlers:
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- $:/config/codemirror/autoCloseTags
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- $:/config/Navigation/openLinkFromInsideRiver
- $:/config/Navigation/openLinkFromOutsideRiver
- $:/ControlPanel
- $:/core
- $:/isEncrypted
- $:/language
- $:/languages/zh-Hans
- $:/palette
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- $:/plugins/bimlas/locator
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- $:/view
- 2-4 tree
- 2n^5 +3n^3 −4n:the best characterisation in strict O-notation of this function
- Acc的limitation
- ADT full form
- advantage and disadvantage of single linkage, complete linkage and average linkage
- advantage of DBSCAN
- AGNES
- Amortisation
- An algorithm is O(n log n) but measured run times appear to increase linearly. Why is this possible?
- apriori approach
- Array list increase size time complexity
- Arrays特点, 时间复杂度
- association rule mining
- assume n is very large and element is comparable, recommand a sorting algorithm
- asymptotic analysis
- Asymptotic analysis gives accurate run time performance with large input parameters.
- Asymptotic analysis is a way to calculate the required initial size of an array when developing an array-based implementation of an ADT.
- Asymptotic analysis is a way to compare the performance of data structures implemented in different programming languages.
- AVL tree
- balanced
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- bucket sort
- c basics
- c) We have an array consisting of n random integers in the range of 0 to d, with d< log2n.
- cat
- Choice 2 of 5:Asymptotic analysis is a way to compare the growth rates of different functions with large input parameters.
- cluster based outlier detection
- clusterin概述
- collaborative filtering
- comparison sorts
- copy all .c files whose name end in .c in the "${HOME}/csse2310/trunk/a4" to "data"of HOME directory
- cosine similarity
- count the lines in the file
- cross validation
- DBSCAN algorithm
- decision tree construction
- decision tree metric
- decision tree split by continuous valued features
- decision tree的三个metric的目的
- density based method
- density of graph
- difference between supervised and unsupervised learning
- distance based outlier detection
- distance metrics
- ensemble learning
- ethics
- expected case in hash table
- explain cuse of dimensionality impact
- favicon.ico
- feature 三种
- feature分类
- file pointer
- File system
- for ( int i=0; i < 100; i++ ) { for ( int j=0; j < 1000; j++ ) { // These statements run in constant time. ... } } time complexity
- fork
- fuzzy clustering and hard clustering
- generalization
- GettingStarted
- graph
- hard link , soft link
- Hash table
- heap
- How many primitive operations are executed in the following code block? int foo = 10; int bar = 11; int foobar = foo + bar; foobar = foo * secret[3];
- if an array with most the elements already sorted, recommand a sorting algorithm
- image.png
- imitation of accuracy
- impact of the number of features
- imputation
- insertion sort
- IP address
- is s.size() where size means the length of the string a good hash function?
- ISO full form
- isolation based outlier detection
- It is necessary to implement the algorithm to experimentally study it.
- kmeans
- KNN
- knn的特点
- learner
- lexicographical order
- limitation of DBSCAN
- linked list
- linux append
- list summary
- ln
- LOF
- ls
- ls -i
- ls -l
- make file
- metrics
- min-max scaler
- minimum spanning tree
- MMU full form
- MST full form
- naive bayes
- Naive bayes
- normalization
- Notation种类
- oracle中文
- outlier detection
- outlier detection Density-based
- outlier-detection model based
- overfitting underfitting
- pattern matching
- pre pruning post pruning
- precision和recall关系
- principle of isolation-based anomaly detection
- procedure of isolation-based anomaly detection
- prove that all nonempty subet of frequent itemset are still frequent
- pruning
- quick sort两个因素
- radix sort for binary numbers
- random forest
- range of Minpts in DBSCAN
- recall , precision and F1
- recursion
- redirect to stderr
- relationship between precision and recall
- sample question1
- selection sort
- separate chaining
- shortest path algorithm
- simplification rules
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- socket流程
- sorting
- sorting算法性质
- Splay tree
- support rate for item set A
- svn save changes with log message"Fixed bug 1234"
- test set
- text mining
- The execution time of an algorithm will depend on the computer system it is executed on.
- The results of experimental studies may not be indicative of the running time on other inputs not included in the study.
- The smaller the SSE the better the clustering performance. True or False?
- TheBrain
- TiddlyWikiIconBlack.png
- TiddlyWikiIconBlue.png
- TiddlyWikiIconWhite.png
- training set
- tut W2
- UQ attic
- virtual memory
- W2Tut.1
- W2Tut.10
- W2Tut.12
- W2Tut.13
- W2Tut.14
- W2Tut.2
- W2Tut.3
- W2Tut.4
- W2Tut.5
- W2Tut.6
- W2Tut.7
- W2Tut.8
- W2Tut.9
- W3
- W3 tut.1
- W3 tut.2
- W3 tut.3
- W3-5
- W3. tut4
- W3. tut5
- W3tut
- W4 1
- W4 2
- W4 3
- W4 4
- W4 5
- W9 1
- W9 2
- W9 3
- W9 4
- web search: basic idea of pagerank
- What are the impact factors of the efficiency of association rule mining
- What is the benefit of involving IDF
- what means inplace algorithm
- When the load factor (α = n/N) of a hash table passes a critical point, the hash table is increased in size. This increases N, the size of the internal array, and decreases the load factor. What needs to happen when the table is resized?
- why joining operation in association rule mining
- why might isolation based anomaly detection fail
- why naive bayes naive
- why normalization
- Write a shell command to compile and link an executable program called d”webserver” that uses pthreads and the library csse2310a4 found in /local/courses/csse2310/lib from two Cfiles called "connections.c” and"server.c.AIl input and output files are in the current working directory.
- write a shell command to show all lines in a file called "resolv.conf" contain nameserver in a file called "resolv.conf"
- write a shell command to show the names of all files under '/usr'
- z-score normalization
- 二叉树
- 二叉树遍历
- 什么时候使用kmeans,什么时候DBSCAN hireraricalAGNES
- 优先队列
- 使用
- 信息熵的最大值最小值
- 信息熵的问题
- 堆Heap
- 头文件与库文件的区别
- 字幕顺序
- 打印/etc/services目录下不包含tcp的行数
- 时间复杂度的三种
- 机器学习的两类
- 渐进分析
- 等比数列
- 维度灾难
- 虚拟内存
- 递归时间复杂度
- 递归类型
- 墨屉